• 
  Eric Lubat, Camille Coquand, Yannick Pencole, Audine Subias. Diagnosability and Predictability of pattern in Labelled Petri Nets. 33rd International Workshop on Principle of Diagnosis (DX 2022), LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773804⟩
• 
  Argaman Aloni Mordoch, Brendan Juba, Roni Stern. Safe Learning and Repairing of Numeric Action Models for Planning. 33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773786v1⟩
• 
  Songtuan Lin, Alban Grastien, Pascal Bercher. Planning Domain Repair as a Diagnosis Problem. 33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773785⟩
• 
  Inbal Roshanski, Meir Kalech, Amir Elmishali. OSCLUS: Combining Clustering and Component-Sensitive Algorithm for Cross-Project Software Fault Prediction. 33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773784⟩
• 
  Alexander Diedrich, Franziska Buchholz, Oliver Niggemann. Learning Causal System Descriptions for Diagnosing Cyber-Physical Systems. 33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France. ⟨hal-03773783⟩

15

0